python return rows with nan code example

Example 1: dataframe find nan rows

df[df.isnull().any(axis=1)]

Example 2: pandas where retuning NaN

# Try using a loc instead of a where:
df_sub = df.loc[df.yourcolumn == 'yourvalue']